140 likes | 233 Vues
Discover the key aspects of tau decay modes, identification techniques, and algorithms for tau reconstruction in offline analysis. Learn about tauRec and tau1P3P, explore their significance, and access relevant documentation online.
E N D
Offline tau reconstruction overview M. Pilar Casado (IFAE & UAB) • Introduction • tauRec • tau1P3P • AOD and ESD • Conclusion
tDecays ~35%, but they belong to another story • t decay modes • Leptonic decay modes • t nt + ne + e (17.4%) • t nt + nm + m (17.8%) • Hadronic decay modes • 1 prong • t nt + p± (11.0%) • t nt + p± + p0 (25.4%) • t nt + p± + p0 + p0 (10.8%) • t nt + p± + p0 + p0 + p0 (1.4%) • t nt + K± + np0 (1.6%) • 3 prong • t nt + 3 p± + np0 (15.2%) How to identify them? 77% 23%
Practical info • tauRec: • Authors: D. Cavalli, S. Resconi, F. Paige, S. Rajagopalan, M. Heldmann. • Documentation: • Code: http://atlassw1.phy.bnl.gov/lxr/source/atlas/ Reconstruction/tauRec/ • Wiki page: https://uimon.cern.ch/twiki/bin/view/Atlas/ TopologicalClustering?topic=TauRec • Status in the offline releases: Part of the offline reconstruction. • tau1P3P: • Authors: E. Richter-Was, T. Szymocha, L. Janyst. • Documentation: • Code: http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/users/erichter/ • Web page: http://project-tau1p3p.web.cern.ch/project-tau1p3p/ESDtau1P3P/index.html • Status in the offline releases: Still not included.
tauRec • Reconstruct t-candidate: • Start from different objects: CaloClusters (default), Isolated tracks, … • Associate tracks from the TrackParticle container to the candidate • Build the set of variables for t-identification, and then calculates Likelihood(s) • Calibrate candidates • Apply set of the basic cuts for t-identification
Some tau variables • Some variables calculated in offline (and in the trigger!):
From M.Heldmann Variables used in tauRec • Builds set of variables for t-identification – they are pT dependant • Calculate Likelihood from: REM, FISO, Ntrack, Strip Width, Nstrip, Charge, Impact parameter, ET/pT(1sttrack) REM FISO Charge Ntrack Nstrip Impact parameter Strip Width ET/pT(1sttrack) SignalA→ttbackground QCD, 0<pT<44 full line and 134<pT< 334 dashed line
From E. Richter-Was et al. Tau1P3P (I) • Motivation: • Tau1P3P dedicated to the tau identification in searches for the light Higgs or soft SUSY: t's with ETvis = 20-70 GeV. • Explores exclusive features of the t lepton: • hadronic t IS NOT a jet but 1 track + 0 or 3 tracks + 0 • Decay products well collimated in space, track direction can provide precise estimate for direction, if track sufficiently dominant. • energy scale defined from energy-flow and not calorimetric. • Publications: • 1. E. Richter-Was, H. Przysiezniak and F. Tarrade, ATL-PHYS-2004-030; • 2. E. Richter-Was, T Szymocha, ATL-PHYS-PUB-2005-005. • 3. D. Froidevaux et al., ATL-COM-PHYS-2005-024 • 4. E. Richter-Was, L. Janyst ATL-COM-PHYS-2005-008
tau1P3P (II) in “real life” we will probably start from regions indicated by calorimetric clusters above ETcut identify “good quality” hadronic track, pT > 9 GeV, find nearby “good quality” tracks with pT > 2 GeV in DR < 0.2 t3P t1P 2 nearby tracks (h,f) from bary centre of tracks S charge = +-1 no nearby-track (h,f) from track at vertex build ETeflow, use DR < 0.2 build ETeflow, use DR < 0.2 build discrimination variables use DR < 0.2 as a “core”, 0.2 < DR < 0.4 for isolation only build discrimination variables use DR < 0.2 as a “core”, 0.2 < DR < 0.4 for isolation only • t1P - single-prong candidates • t3P - three-prong candidates
tau1P3P (III) with D. Froidevaux, for more details see talk at Nov. 2004 Physics Week ETeflow= ETemcl +ETneuEM + S pTtrack + ... used only EM cells within DR < 0.2 around tau1P direction ETeflow/ETtruth ETeflow/ETtruth 1 prong 3 prong good resolution: ETeflow/ETtruth t1P: 65.2% in 0.9-1.1 88.3% in 0.8-1.2 t3P: 73.4% in 0.9-1.1 93.8% in 0.8-1.2 good stability for ETtruth = 20 – 70 GeV <>=1.011 s = 0.0303 <>=1.014 s =0.0663 ETeflow/ETtruth ETeflow/ETtruth 1.2 1.2 0.8 0.8
Present AOD class for tau’s:TauJet.h • inherits from P4EEtaPhiM class, • access to asociated tracks, • access to associated CaloCluster, • access to associated Vertex • numTracks (use also for tau1p, tau3P) • pEM 4-momenta of EM component • other attributes set by the ”author” author=tau1P3P already implemented
Present ESD class for tau’s:TauObject.h • trying to integrate different basic principles of both algorithms • access to associated cluster, tracks, vertex can be easily made common • several variables are very specific for tauRec, and other for tau1P3P possible approaches: create “author” like for AOD ? inherit from a basic class, different concrete classes ? add more variables/methods ? Details being discussed at the moment in the Tau group.
Conclusion • There are two algorithms for tau reconstruction in the offline: tauRec (cluster and track seeded algorithm) and tau1P3P (track seeded algorithm). • There are many common variables: EM radius, Strip width and fracETR12. • Key differences: • H1 calibration vs energy flow. • Likelihood vs PDE-RS. • Energy resolution is similar for both packages. Efficiency is better for tau1P3P for ET < 25 GeV. • Whilst AOD is quite defined in the offline tau reconstruction, the ESD class is under discussion.